Senior Data Architect

Il y a 2 heures

Limburg, Flanders, Belgique OneSource Consulting Temps plein

Location: Hasselt, Belgium (Hybrid, 2-3 days/week onsite)

Context of the assignment

  • The consultant works together with the internal data team, business experts, project leaders, and suppliers to develop a future-oriented data landscape. The focus is on defining architecture principles, implementing integration and migration strategies, and developing a sustainable approach to data governance.

Scope of the assignment

The consultant supports Client with:

Mapping the data landscape

  • Inventory of data sources, databases, files and applications.
  • Documenting data structures, entities, and interdependencies.
  • Identifying duplicate data sources, shadow IT and data quality issues.
  • Creation of data mappings between existing and future systems.

Supporting data quality and data governance

  • Developing agreements on data standards and reference data.
  • Defining validation rules and quality checks.
  • Advising on data management, ownership, and governance processes.

Designing a canonical data model

  • Identify core entities and data relationships.
  • Designing an organization-wide data model.
  • Define semantic data definitions and unique identifiers.
  • Alignment of the model with healthcare-related standards (FHIR)

Developing a sustainable integration architecture

  • Design data flows between applications.
  • Define mappings between source and target systems.
  • Support API and iPaaS integrations.

Supporting migration, archiving and reporting initiatives

  • Preparing data migrations to new applications.
  • Advising on archiving and history management.
  • Contribute to the development of a data warehouse.

The candidate has:

  • Proven experience with complex integration and transformation projects.
  • Experience with API-based architectures, event-driven architectures, middleware and iPaaS platforms.
  • Knowledge of data modelling, master data management, data governance and data quality.
  • Experience with data migration projects.